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Deep Learning for Financial Applications : A Survey

Deep Learning for Financial Applications : A Survey

9 February 2020
A. Ozbayoglu
M. U. Gudelek
Omer Berat Sezer
    AIFin
    AI4CE
ArXivPDFHTML

Papers citing "Deep Learning for Financial Applications : A Survey"

28 / 78 papers shown
Title
Contributor-Aware Defenses Against Adversarial Backdoor Attacks
Contributor-Aware Defenses Against Adversarial Backdoor Attacks
Glenn Dawson
Muhammad Umer
R. Polikar
AAML
25
0
0
28 May 2022
Reducing Flipping Errors in Deep Neural Networks
Reducing Flipping Errors in Deep Neural Networks
Xiang Deng
Yun Xiao
Bo Long
Zhongfei Zhang
AAML
16
3
0
16 Mar 2022
Multicriteria interpretability driven Deep Learning
Multicriteria interpretability driven Deep Learning
M. Repetto
11
13
0
28 Nov 2021
A Review on Graph Neural Network Methods in Financial Applications
A Review on Graph Neural Network Methods in Financial Applications
Jianian Wang
Shenmin Zhang
Yanghua Xiao
Rui Song
AI4TS
21
104
0
27 Nov 2021
Stock Index Prediction using Cointegration test and Quantile Loss
Stock Index Prediction using Cointegration test and Quantile Loss
Jaeyoung Cheong
Heejoon Lee
Minjung Kang
AIFin
12
0
0
29 Sep 2021
Reinforcement Learning for Quantitative Trading
Reinforcement Learning for Quantitative Trading
Shuo Sun
R. Wang
Bo An
OffRL
AIFin
11
50
0
28 Sep 2021
Generatively Augmented Neural Network Watchdog for Image Classification
  Networks
Generatively Augmented Neural Network Watchdog for Image Classification Networks
Justin Bui
Glauco A. Amigo
R. Marks
26
0
0
07 Sep 2021
AI in Finance: Challenges, Techniques and Opportunities
AI in Finance: Challenges, Techniques and Opportunities
LongBing Cao
AIFin
23
238
0
20 Jul 2021
Machine Learning for Financial Forecasting, Planning and Analysis:
  Recent Developments and Pitfalls
Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls
Helmut Wasserbacher
Martin Spindler
6
36
0
10 Jul 2021
Measuring Financial Time Series Similarity With a View to Identifying
  Profitable Stock Market Opportunities
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities
Rian Dolphin
Barry Smyth
Yang Xu
Ruihai Dong
AIFin
9
7
0
07 Jul 2021
Short-term probabilistic photovoltaic power forecast based on deep
  convolutional long short-term memory network and kernel density estimation
Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation
Mingliang Bai
Xinyu Zhao
Zhenhua Long
Jinfu Liu
Daren Yu
AI4TS
20
1
0
03 Jul 2021
Theoretically Motivated Data Augmentation and Regularization for
  Portfolio Construction
Theoretically Motivated Data Augmentation and Regularization for Portfolio Construction
Liu Ziyin
Kentaro Minami
Kentaro Imajo
14
4
0
08 Jun 2021
Designing ECG Monitoring Healthcare System with Federated Transfer
  Learning and Explainable AI
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Ali Raza
K. Tran
L. Koehl
Shujun Li
14
126
0
26 May 2021
Novel ANN method for solving ordinary and fractional Black-Scholes
  equation
Novel ANN method for solving ordinary and fractional Black-Scholes equation
Saeed Bajalan
Nastaran Bajalan
6
2
0
17 May 2021
Interpretability in deep learning for finance: a case study for the
  Heston model
Interpretability in deep learning for finance: a case study for the Heston model
D. Brigo
Xiaoshan Huang
A. Pallavicini
Haitz Sáez de Ocáriz Borde
FAtt
6
7
0
19 Apr 2021
DAFAR: Defending against Adversaries by Feedback-Autoencoder
  Reconstruction
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction
Haowen Liu
Ping Yi
Hsiao-Ying Lin
Jie Shi
Weidong Qiu
AAML
11
2
0
11 Mar 2021
Securing Deep Spiking Neural Networks against Adversarial Attacks
  through Inherent Structural Parameters
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Rida El-Allami
Alberto Marchisio
Muhammad Shafique
Ihsen Alouani
AAML
11
37
0
09 Dec 2020
Feature space approximation for kernel-based supervised learning
Feature space approximation for kernel-based supervised learning
Patrick Gelß
Stefan Klus
Ingmar Schuster
Christof Schütte
13
5
0
25 Nov 2020
Advancements of federated learning towards privacy preservation: from
  federated learning to split learning
Advancements of federated learning towards privacy preservation: from federated learning to split learning
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
FedML
6
82
0
25 Nov 2020
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous
  Probabilistic Integrity Verification Inside Trusted Execution Environment
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
Aref Asvadishirehjini
Murat Kantarcioglu
B. Malin
9
12
0
17 Oct 2020
Asset Price Forecasting using Recurrent Neural Networks
Asset Price Forecasting using Recurrent Neural Networks
Hamed Vaheb
AI4TS
11
0
0
10 Oct 2020
A Generic Methodology for the Statistically Uniform & Comparable
  Evaluation of Automated Trading Platform Components
A Generic Methodology for the Statistically Uniform & Comparable Evaluation of Automated Trading Platform Components
A. Sokolovsky
Luca Arnaboldi
13
2
0
21 Sep 2020
Estimating Example Difficulty Using Variance of Gradients
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal
Daniel D'souza
Sara Hooker
198
107
0
26 Aug 2020
ATM Cash demand forecasting in an Indian Bank with chaos and deep
  learning
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning
Sarveswararao Vangala
V. Ravi
BDL
4
18
0
24 Aug 2020
Approaches to Fraud Detection on Credit Card Transactions Using
  Artificial Intelligence Methods
Approaches to Fraud Detection on Credit Card Transactions Using Artificial Intelligence Methods
Y. Yazici
9
14
0
29 Jul 2020
Data science and AI in FinTech: An overview
Data science and AI in FinTech: An overview
LongBing Cao
Qiang Yang
Philip S. Yu
AIFin
13
88
0
10 Jul 2020
Financial Time Series Forecasting with Deep Learning : A Systematic
  Literature Review: 2005-2019
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019
Omer Berat Sezer
M. U. Gudelek
A. Ozbayoglu
AI4TS
25
987
0
29 Nov 2019
A General Framework on Enhancing Portfolio Management with Reinforcement
  Learning
A General Framework on Enhancing Portfolio Management with Reinforcement Learning
Yinheng Li
Junhao Wang
Yijie Cao
11
3
0
26 Nov 2019
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